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Record W4403811640 · doi:10.1681/asn.2024xah7cq7h

Effect of Conversion from Tacrolimus to Cyclosporine on BK Viremia among Kidney Transplant Recipients: The TACCsA-SWITCH Study

2024· article· en· W4403811640 on OpenAlexaff
Hon Shen Png, Abdullah Alghamdi, Azim S. Gangji

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsTacrolimusViremiaMedicineKidney transplantKidneyUrologyKidney transplantationInternal medicineImmunologyTransplantationHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Background: There is no established treatment strategy for BK-polyomavirus (BKPyV) infection among kidney transplant recipients (KTRs) after initial reduction of immunosuppression. In vitro studies suggest an inhibitory role of cyclosporine on replication of BKPyV. We investigated effect of conversion of tacrolimus to cyclosporine (TAC-CsA switch) on BKPyV viral load (VL) among KTRs. Methods: We conducted a retrospective cohort study with a pre-post study design investigating effect of TAC-CsA switch among KTRs with persistent BKPyV-VL of more than 10,000 IU/ml (equivalent to 4 log10IU/ml) for more than 3 months before TAC-CsA switch. We ensured 6 months of follow up after conversion, between 2020 to 2023. We calculated the slope of change for log-BKPyV-VL in log10IU/ml/month using least-square method and compared the mean results before and after TAC-CsA switch. Results: 32 patients were included in the analysis. 25 (78.1%) patients had deceased kidney transplantation (KT), and 17 (53.1%) patients received anti-thymocyte globulin. Before TAC-CsA switch, 17 (53.1%) had a change of mycophenolate to leflunomide, 4 (12.5%) and 14 (43.8%) were given cidofovir and intravenous immunoglobulin, respectively. Median time from last immunosuppression adjustment/ therapy given prior to TAC-CsA switch was 112.5 (interquartile range (IQR) 225.75) days. At time of TAC-CsA switch, median BKPyV-VL was 321x103 (IQR 2.49x106) IU/ml, equivalent to median log-BKPyV-VL of 5.50 (IQR 1.39) log10IU/ml. The mean slope of change for log-BKPyV-VL before and after TAC-CsA switch were 0.304 (95% confidence interval (CI) 0.139, 0.469) and -0.279 (95% CI -0.353, -0.204) log10IU/ml/month respectively. Mean difference between the slopes before and after TAC-CsA switch was -0.583 (95% CI -0.807, -0.358) log10IU/ml/month (p < 0.001). 21 (65.6%) patients achieved log-BKPyV-VL improvement of at least 0.2 log10IU/ml/month (equivalent to 16 fold VL reduction in 6-month period) after TAC-CsA switch. Conclusion: TAC-CsA switch is a useful strategy for difficult to treat BKPyV viremia among KTRs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.281
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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